DePIN Protocol and Reward System for Robotics Data Sharing
Any robot in the world can easily integrate into the network and will be rewarded with RICE tokens.
First step to solving the data scarcity bottleneck is building a DePIN protocol for robotics data sharing.
Rice Robotics introduces a Mini bot,
a companion robot fully integrated
with the RICE Al ecosystem.
Backed By Floki
The biggest meme coin on BSC.
Rice Minibot M1 to
Accelerate Adoption
What's stopping AGI for
robotics from advancing?
Time & Cost
The time and costs associated with dataset collection are too high.
Multiple Models
There are too many models, requiring excessive development time to integrate them.
Waste of effort
Models are retrained for the same purposes and using the same algorithms by different companies, leading to wasted efforts.
High Technical Requirements
Testing and debugging require a highly skilled developer team.
Inconsistent Structures
Data and model structures are inconsistent, making datasets and models difficult to use on the same devices.
Insufficient hardware
There are insufficient local devices with high computing power to run models effectively.
Al Foundry for Building
Foundation Models for
AGI Robots
Powered by the decentralized data sharing protocol, our Al foundry disrupts the robotics industry with a decentralized marketplace to build foundation models for AGI for robots that are actuated in the physical world.
A Robot Brain Model
For All Robot Body
Key Features
of Minibot M1
Enabling GPU Sharing With Nvidia Jetson
The M1 Robot leverages powerful NVIDIA Jeston to facilitate GPU sharing within the RICE AI community. Optimizing the performance of AI models by providing scalable access to high-performance GPU resources. Developers can seamlessly share and utilize GPU power, accelerating the training and deployment of advanced AI models across various robotic applications.
Human-Like Contextual Awareness
LLMs empower M1 Robot with contextual understanding and advanced problem-solving abilities, allowing it to navigate and adapt to dynamic environments effectively.
Natural Language Interaction
Incorporating Large Language Models (LLMs) into M1 Robot's AI design facilitates seamless natural language communication and sophisticated decision-making processes.
Advanced IO
Incorporating best-in-class sensors, including cameras, voice recognition, and touch monitors, significantly boosts the robot's perception and interaction capabilities.
AI-Embedded Jetson Board
Integrating AI-embedded boards with robust processing power and AI capabilities equips M1 Robot with on-board intelligence and adaptive behaviour, enhancing its functionality.
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Rice Robotics
The innovators behind RICE AI
